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Design and Development of Artificial Intelligence Products and Services 
offered by MIT University

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Design and Development of Artificial Intelligence Products and Services
 at 
MIT University 
Overview

Identify an operational challenge and propose a technical solution

Duration

8 weeks

Total fee

2.08 Lakh

Mode of learning

Online

Course Level

UG Certificate

Design and Development of Artificial Intelligence Products and Services
 at 
MIT University 
Highlights

  • Earn a certificate of completion from MIT xPRO
  • Insights and examples from renowned MIT faculty
  • Development of an AI project proposal to present to stakeholders or investors
Details Icon

Design and Development of Artificial Intelligence Products and Services
 at 
MIT University 
Course details

Who should do this course?
  • For Technical product managers
  • For Technology professionals
  • For Technology consultants
  • For AI startup founders
  • For UI/UX designers
What are the course deliverables?
  • Learn the four stages of AI product design
  • Identify applicable AI technologies to improve organizational processes
  • Analyze the technical and operational requirements to build AI models
  • Differentiate between various machine learning algorithms
  • Design AI products to solve organizational problems
  • Learn about the challenges you may face when designing AI products
More about this course
  • This program will help you understand the design principles and applications of AI in various industries
  • The goal is for you to create an AI-based product proposition that can be presented to your internal stakeholders or investors
  • You will learn the different phases of AI-based product design and the fundamentals of deep and machine learning algorithms, and apply your knowledge to solve practical problems

Design and Development of Artificial Intelligence Products and Services
 at 
MIT University 
Curriculum

Week 1

Introduction to the artificial intelligence design process

Learn about the stages of designing an AI-based product, focusing on specifics such as cost metrics and technical requirements of an AI software development plan

Week 2

Artificial Intelligence Technology Fundamentals ? Machine Learning

Identifies various Machine Learning algorithms and discusses different approaches, such as Bayesian and regression models

Learn about the unsupervised and semi-supervised methods of Machine Learning algorithms. Run and analyze the results of various Machine Learning algorithms

Week 3

Fundamentals of Artificial Intelligence Technology - Deep Learning

Building on the understanding of Machine Learning fundamentals gained in Week 2

Explore the fundamentals of Deep Learning. Topics include neural networks, artificial neurons, and the simulation of complex networks

Week 4

Design of artificial machines to solve problems

Identifies the superhuman intelligence used in an AI product

Compare and contrast the advantages and disadvantages of using an AI technology

Week 5

Design of intelligent human-machine interfaces (HMI)

Use the resources provided in this module to understand the techniques, application areas, advantages and disadvantages of HMIs

Learn to define an appropriate level of machine involvement in interactions with humans. Look for ways to use Artificial Intelligence to your advantage

Week 6

Superminds: Designing Organizations That Combine Human and Artificial Intelligence

Get into the concept of supermind, compare and contrast the different types of supermind

Explore how humans and machines can work together to be greater than the sum of their parts. Applies cognitive processes to various organizational and community problems

Week 7

AI Design Market Frontiers: Research

Learn how Artificial Intelligence and Generative Adversarial Networks (GANs) can be used to generate fake images and videos from real data

Evaluate the technical, social and economic impact of AI technologies

Week 8

AI Design Market Frontiers: Practice

Implement the Lawler model to define an AI problem

Design and build an overview of an AI product or process using the learnings from previous modules in the program

Faculty Icon

Design and Development of Artificial Intelligence Products and Services
 at 
MIT University 
Faculty details

Brian Subirana
Brian Subirana has taught at MIT Sloan and the MIT School of Engineering and he is also on the faculty of Harvard University. His research centers on IoT and AI, and focuses on manufacturing, e-learning, the creative industries, and digital health
Andrew Lippman
Andrew Lippman heads the Viral Communications research group at MIT Media Lab. His work has ranged from digital video and entertainment to graphical interfaces, networking and blockchains.
Stefanie Mueller
Stefanie Mueller is the head of the Human Computer Interaction Communities of Research (HCI CoR) at MIT CSAIL. In her research, she develops novel hardware and software systems that advance personal fabrication technologies.
Duane Boning
Boning's research focuses on modeling and control of variation in manufacturing, including IC, photonics, and MEMS processes, devices, and circuits. Her interests include statistical and machine learning methods for design and manufacturing in advanced technologies.

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MIT University 
 
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